Jinlan Fu

According to our database, Jinlan Fu authored at least 62 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding.

Haowei Zhang, Shudong Yang, Jinlan Fu, See-Kiong Ng, Xipeng Qiu

CoRR, January, 2026

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs.

Qian Chen, Jinlan Fu, Changsong Li, See-Kiong Ng, Xipeng Qiu

CoRR, January, 2026

Analyzing Reasoning Consistency in Large Multimodal Models under Cross-Modal Conflicts.

Zhihao Zhu, Jiafeng Liang, Shixin Jiang, Jinlan Fu, Ming Liu, Guanglu Sun, See-Kiong Ng, Bing Qin

CoRR, January, 2026

2025

AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents.

Jiafeng Liang, Hao Li, Chang Li, Jiaqi Zhou, Shixin Jiang, Zekun Wang, Changkai Ji, Zhihao Zhu, Runxuan Liu, Tao Ren, Jinlan Fu, See-Kiong Ng, Xia Liang, Ming Liu, Bing Qin

CoRR, December, 2025

RoboOmni: Proactive Robot Manipulation in Omni-modal Context.

Siyin Wang, Jinlan Fu, Feihong Liu, Xinzhe He, Huangxuan Wu, Junhao Shi, Kexin Huang, Zhaoye Fei, Jingjing Gong, Zuxuan Wu, Yu-Gang Jiang, See-Kiong Ng, Tat-Seng Chua, Xipeng Qiu

CoRR, October, 2025

LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models.

Senyu Fei, Siyin Wang, Junhao Shi, Zihao Dai, Jikun Cai, Pengfang Qian, Li Ji, Xinzhe He, Shiduo Zhang, Zhaoye Fei, Jinlan Fu, Jingjing Gong, Xipeng Qiu

CoRR, October, 2025

MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation.

Jinlan Fu, Shenzhen Huangfu, Hao Fei, Yichong Huang, Xiaoyu Shen, Xipeng Qiu, See-Kiong Ng

CoRR, October, 2025

Rethinking Visual Layer Selection in Multimodal LLMs.

Haoran Chen, Junyan Lin, Xinhao Chen, Yue Fan, Xin Jin, Hui Su, Jianfeng Dong, Jinlan Fu, Xiaoyu Shen

CoRR, April, 2025

Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices.

Junyan Lin, Haoran Chen, Yue Fan, Yingqi Fan, Xin Jin, Hui Su, Jinlan Fu, Xiaoyu Shen

CoRR, March, 2025

Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Models.

Siyin Wang, Xingsong Ye, Qinyuan Cheng, Junwen Duan, Shimin Li, Jinlan Fu, Xipeng Qiu, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

<i>MCM-DPO</i>: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation.

Jinlan Fu, Shenzhen Huangfu, Hao Fei, Yichong Huang, Xiaoyu Shen, Xipeng Qiu, See-Kiong Ng

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models.

Haojian Huang, Haodong Chen, Shengqiong Wu, Meng Luo, Jinlan Fu, Xinya Du, Hanwang Zhang, Hao Fei

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FlipAttack: Jailbreak LLMs via Flipping.

Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs.

Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VisiPruner: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs.

Yingqi Fan, Anhao Zhao, Jinlan Fu, Junlong Tong, Hui Su, Yijie Pan, Wei Zhang, Xiaoyu Shen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Multimodal Language Models See Better When They Look Shallower.

Haoran Chen, Junyan Lin, Xinghao Chen, Yue Fan, Jianfeng Dong, Xin Jin, Hui Su, Jinlan Fu, Xiaoyu Shen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models.

Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices.

Junyan Lin, Haoran Chen, Yue Fan, Yingqi Fan, Xin Jin, Hui Su, Jinlan Fu, Xiaoyu Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning.

Siyin Wang, Zhaoye Fei, Qinyuan Cheng, Shiduo Zhang, Panpan Cai, Jinlan Fu, Xipeng Qiu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLM as Effective Streaming Processor: Bridging Streaming-Batch Mismatches with Group Position Encoding.

Junlong Tong, Jinlan Fu, Zixuan Lin, Yingqi Fan, Anhao Zhao, Hui Su, Xiaoyu Shen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency.

Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

FlipAttack: Jailbreak LLMs via Flipping.

Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Bryan Hooi

CoRR, 2024

Cross-Modality Safety Alignment.

Siyin Wang, Xingsong Ye, Qinyuan Cheng, Junwen Duan, Shimin Li, Jinlan Fu, Xipeng Qiu, Xuanjing Huang

CoRR, 2024

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model.

Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao

CoRR, 2024

Chain of Thought Explanation for Dialogue State Tracking.

Lin Xu, Ningxin Peng, Daquan Zhou, See-Kiong Ng, Jinlan Fu

CoRR, 2024

Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge.

Jinlan Fu, Shenzhen Huangfu, Hang Yan, See-Kiong Ng, Xipeng Qiu

CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.

Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang

CoRR, 2024

GPTScore: Evaluate as You Desire.

Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism.

Anhao Zhao, Fanghua Ye, Jinlan Fu, Xiaoyu Shen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLM can Achieve Self-Regulation via Hyperparameter Aware Generation.

Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations.

Lin Xu, Qixian Zhou, Jinlan Fu, See-Kiong Ng

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.

Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig

ACM Comput. Surv., 2023

How Far Are We from Believable AI Agents? A Framework for Evaluating the Believability of Human Behavior Simulation.

Yang Xiao, Yi Cheng, Jinlan Fu, Jiashuo Wang, Wenjie Li, Pengfei Liu

CoRR, 2023

OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System.

Mingtao Yang, See-Kiong Ng, Jinlan Fu

CoRR, 2023

2022

Polyglot Prompt: Multilingual Multitask PrompTraining.

Jinlan Fu, See-Kiong Ng, Pengfei Liu

CoRR, 2022

Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification.

Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Polyglot Prompt: Multilingual Multitask Prompt Training.

Jinlan Fu, See-Kiong Ng, Pengfei Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations.

Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng

Proceedings of the 29th International Conference on Computational Linguistics, 2022

DataLab: A Platform for Data Analysis and Intervention.

Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.

Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson

CoRR, 2021

Larger-Context Tagging: When and Why Does It Work?

Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Partition Filter Network for Joint Entity and Relation Extraction.

Zhiheng Yan, Chong Zhang, Jinlan Fu, Qi Zhang, Zhongyu Wei

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.

Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Towards More Fine-grained and Reliable NLP Performance Prediction.

Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.

Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ExplainaBoard: An Explainable Leaderboard for NLP.

Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

SpanNER: Named Entity Re-/Recognition as Span Prediction.

Jinlan Fu, Xuanjing Huang, Pengfei Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study.

Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang

CoRR, 2020

Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering.

Jinlan Fu, Yi Li, Qi Zhang, Qinzhuo Wu, Renfeng Ma, Xuanjing Huang, Yu-Gang Jiang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving.

Qinzhuo Wu, Qi Zhang, Jinlan Fu, Xuanjing Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

RethinkCWS: Is Chinese Word Segmentation a Solved Task?

Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interpretable Multi-dataset Evaluation for Named Entity Recognition.

Jinlan Fu, Pengfei Liu, Graham Neubig

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study.

Jinlan Fu, Pengfei Liu, Qi Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Implicit discourse relation detection using concatenated word embeddings and a gated relevance network.

Jinlan Fu, Qi Zhang, Jifan Chen, Minlong Peng, Tao Gui, Xipeng Qiu, Xuanjing Huang

Sci. China Inf. Sci., 2019

Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection.

Di Liang, Fubao Zhang, Weidong Zhang, Qi Zhang, Jinlan Fu, Minlong Peng, Tao Gui, Xuanjing Huang

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Model the Long-Term Post History for Hashtag Recommendation.

Minlong Peng, Qiyuan Bian, Qi Zhang, Tao Gui, Jinlan Fu, Lanjun Zeng, Xuanjing Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Learning Task-Specific Representation for Novel Words in Sequence Labeling.

Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Lexicon-Based Graph Neural Network for Chinese NER.

Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Mining User Profiles from Query Log.

Minlong Peng, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang, Jinlan Fu

Proceedings of the Information Retrieval - 25th China Conference, 2019

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning.

Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Neural Networks Incorporating Dictionaries for Chinese Word Segmentation.

Qi Zhang, Xiaoyu Liu, Jinlan Fu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adaptive Co-attention Network for Named Entity Recognition in Tweets.

Qi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018